Francois Bernard Lauze

Francois Bernard Lauze

Associate Professor

ORCID: 0000-0003-2503-6475

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  1. Published

    A model-free unsupervised method to cluster brain tissue directly From DWI volumes

    Liptrot, M. G. & Lauze, Francois Bernard, 2014. 1 p.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  2. Published

    Group Convolutional Neural Networks for DWI Segmentation

    Liu, Renfei, Lauze, Francois Bernard, Bekkers, E. J. & Erleben, Kenny, 2022, In: Proceedings of Machine Learning Research. 2022, 1, p. 1-11

    Research output: Contribution to journal › Conference article › Research

  3. Published

    Bundle Geodesic Convolutional Neural Network for DWI Segmentation from Single Scan Learning

    Liu, Renfei, Lauze, Francois Bernard, Erleben, Kenny & Darkner, Sune, 2021, Computational Diffusion MRI - 12th International Workshop, CDMRI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Cetin-Karayumak, S., Christiaens, D., Figini, M., Guevara, P., Gyori, N., Nath, V. & Pieciak, T. (eds.). Springer, p. 121-132 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13006 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  4. Published

    Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentation

    Liu, Renfei, Lauze, Francois Bernard, Erleben, Kenny, Berg, Rune W. & Darkner, Sune, 2022, In: Journal of Medical Imaging. 9, 6, 14 p., 064002.

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. Published

    SE(3) Group Convolutional Neural Networks and a Study on Group Convolutions and Equivariance for DWI Segmentation

    Liu, Renfei, Lauze, Francois Bernard, Bekkers, E. J., Erleben, Kenny & Darkner, Sune, 2023, Research Square, 32 p.

    Research output: Working paper › Preprint › Research

  6. Published

    Supervised scale-regularized linear convolutionary filters

    Loog, M. & Lauze, Francois Bernard, Jul 2017, Proceedings of BMVC 2017. British Machine Vision Conference, 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. Published

    The improbability of Harris interest points

    Loog, M. & Lauze, Francois Bernard, 2010, In: IEEE Transaction on Pattern Analysis and Machine Intelligence. 32, 6, p. 1141-1147 7 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  8. Published

    Deep Learning-Assisted Localisation of Nanoparticles in synthetically generated two-photon microscopy images

    Netterstrøm, R., Kutuzov, Nikolay, Darkner, Sune, Pallesen, M. J., Lauritzen, Martin, Erleben, Kenny & Lauze, Francois Bernard, 2023, arXiv.org, 1 p.

    Research output: Working paper › Preprint › Research

  9. Published

    Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women

    Nielsen, Mads, Ganz, Melanie, Lauze, Francois Bernard, Pettersen, P. C., de Bruijne, Marleen, Clarkson, T. B., Dam, E. B., Christiansen, C. & Karsdal, M. A., 2010, In: BMC Cardiovascular Disorders. 10, 10 p., 56.

    Research output: Contribution to journal › Journal article › Research › peer-review

  10. Published

    Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network

    Prasoon, A., Petersen, P. K., Igel, Christian, Lauze, Francois Bernard, Dam, Erik Bjørnager & Nielsen, Mads, 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Mori, K., Sakuma, I., Sato, Y., Barillot, C. & Navab, N. (eds.). Springer, p. 246-253 8 p. (Lecture notes in computer science, Vol. 8150).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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